Data Test Engineer

Location: Remote

OUR COMPANY

RegASK is an AI-driven solution enabling end-to-end intelligent regulatory workflow orchestration: automating regulatory intelligence with curated content and actionable insights, smart documentation and a connected community of over 1,700+ subject matter experts for streamlined regulatory execution globally. RegASK augments Regulatory Affairs teams, combining AI efficiency and community-driven intelligence to streamline compliance across the product lifecycle. The RegASK team is highly diverse, with more than 10 nationalities across 3 continents, entrepreneurial and very agile. We are currently recruiting highly motivated individuals to expand its team and support its ambitious growth plans.

If you are a doer who enjoys working across industries and continents, autonomous in your working style, and eager to problem solve, we would love to hear from you.

THE POSITION

As a Data Test Engineer at RegASK, you will be responsible for ensuring the quality, accuracy, and reliability of our data infrastructure - spanning ETL pipelines, cloud-based data services, and business intelligence dashboards. This position requires a detail-oriented and technically strong engineer with hands-on experience in data validation, test automation, and modern cloud data stacks. This role is ideal for someone with a passion for data quality who thrives in a fast-paced, cross-functional environment and takes ownership of testing end-to-end data flows.

Title: Data Test Engineer

Key Responsibilities

• Design and execute test cases for ETL pipelines moving data into and out of MongoDB and Azure data services
• Validate data accuracy, completeness, and transformation logic from source systems through to Power BI dashboards
• Build and maintain automated test frameworks for UI, API, and data layer testing
• Write MongoDB aggregation queries and SQL to verify data integrity and reconciliation
• Test Power BI reports and dashboards for data correctness, calculation logic, and refresh reliability
• Validate Azure Data Factory pipelines, Azure Functions, and related data workflows
• Integrate automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions)
• Collaborate with data engineers, BI developers, and product teams on test strategy
• Identify, document, and track defects through resolution

Profile Required

• Hands-on experience with MongoDB: aggregation pipelines, indexing, query optimization
• Working knowledge of Azure data services (Data Factory, Synapse, Blob Storage, or Databricks)
• Experience testing Power BI reports - validating DAX measures, data models, and visualizations
• Proficiency in at least one automation framework: Playwright, Selenium, Cypress, or PyTest
• Programming experience in Python, JavaScript/TypeScript, or C#
• API testing experience (Postman, REST Assured, or similar)
• Strong SQL skills for cross-validation against relational sources

How to Apply

If you are excited about this opportunity and believe you have the skills and qualifications to excel as our Data Test Engineer, please submit your resume for consideration.

We appreciate all applications, but only selected candidates will be contacted for an interview.

Thank you for considering joining the RegASK team. We look forward to reviewing your application!